Day 15 - Mastering Python Libraries for File Magic! 📚🐍

As DevOps engineers, maneuvering through different file formats is part of our daily routine. Python, equipped with its powerful libraries, provides an intuitive solution. Today, let's uncover the capabilities of the json and yaml libraries. 📂🐍

Creating and Writing to JSON:

Our journey begins by crafting a Python dictionary and seamlessly saving it to a JSON file. Mastering this foundational skill sets the stage for effective data representation. 📝

import json

data = {"key": "value"}
with open("output.json", "w") as json_file:
    json.dump(data, json_file)

Reading JSON and Extracting Service Names:

Next, we explore the nuances of reading a JSON file and extracting valuable information. Specifically, we retrieve service names for each cloud provider from the services.json file. 📚🔍

services.json file. 📚🔍

import json

with open("services.json", "r") as json_file:
    data = json.load(json_file)

for provider, service in data.items():
    print(f"{provider}: {service}")

Reading YAML and Converting to JSON:

Python's versatility shines as we effortlessly read a YAML file and convert its contents to JSON. The yaml library proves instrumental in this conversion, showcasing Python's adaptability. 🤖🔄

import yaml
import json

with open("services.yaml", "r") as yaml_file:
    data = yaml.safe_load(yaml_file)

json_data = json.dumps(data, indent=2)
print(json_data)

In the expansive landscape of DevOps, efficiency is paramount, and adeptly handling diverse file formats is a crucial skill. Python, enriched with libraries like json and yaml, emerges as the preferred language for DevOps engineers. Let's explore how Python simplifies file parsing, making our journey in DevOps smoother. 🚀